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• Determine the libraries to use
• Read the file and transform the data
• Select the more appropriate kind of chart to represent the information
• Create a dynamic timeline chart

R packages are a collection of R functions, compiled code and sample data. They are stored under a directory called “library” in the R environment. By default, R installs a set of packages during installation. More packages are added later when they are needed for some specific purpose.

library(readxl) #Read the data from excel sheet
library(DT) #Show a dynamic table
library(highcharter) #Represent the data in timeseries chart

#Load the table, establishing the sheet, range and column types of the data

Turtle <- read_excel("E:/Trabajos Fran/Ostional/Final.xlsx", 
                     sheet = "Chart", range = cell_cols("A1:C43"), 
                     col_types = c("numeric", "numeric", "date")) 

#Change column names

names(Turtle)[1] <- "egglaying"
names(Turtle)[2] <- "nharv"

#Convert Date column to Timeseries column

turtle.date <- ts(data=Turtle, 
                  start = c(2006,06), 
                  end = c(2010,12), 
                  frequency = 12)

table <- datatable(turtle.date, extensions = c('Buttons','FixedColumns', 'RowReorder'),
  filter = list(position = 'top', clear = FALSE),
  options = list(dom = 'Bfrtip',
    buttons = c('copy', 'csv', 'excel', 'pdf', 'print'), dom = 't',
    scrollX = TRUE,
    fixedColumns = TRUE,
    rowReorder = TRUE, order = list(c(0 , 'asc'))))

#Create the Timeseries chart

Chart <- highchart(type = "stock") %>% 
  hc_title(text = "Total number of Egg Laying Females and Percent of Nests Harvested
           <br>Ostional - Costa Rica, Period 2006-2010</br>") %>% 
  hc_subtitle(text = "Figure Adapted from: Valverde et al. 2012") %>% 
  hc_yAxis_multiples(list(title = list(text = "Egg Laying Females (total number)"), 
                          opposite = FALSE),
                    list(showLastLabel = FALSE, opposite = TRUE, 
                            title = list(text = "Nests Harvested (percent)"))) %>% 
  hc_add_series(turtle.date[,2],  yAxis = 1, type = "column", 
                pointInterval= 30*24*3600*1000, 
                name="Percentage of Nests Harvested", color = "#2F528F")%>%
  hc_add_series(turtle.date[,1],  yAxis = 0, type = "spline", 
                pointInterval= 30*24*3600*1000, 
                name="Egg Laying Females", color = "#ED7D31")%>%
  hc_plotOptions(spline = list(marker = list(enabled = TRUE, radius = 4))) %>% 
  hc_xAxis(title= list(text='Date'), type='datetime')